This method performs a T Test using Students distribution (T distribution) with paired samples.
This analysis tool and its formula perform a paired two-sample student's t-test to determine whether a sample's means are distinct. This t-test form does not assume that the variances of both populations are equal. You can use a paired test when there is a natural pairing of observations in the samples, such as when a sample group is tested twice — before and after an experiment.
Visual Basic (Declaration) | |
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Public Function TTestPaired( _ ByVal hypothesizedMeanDifference As Double, _ ByVal probability As Double, _ ByVal firstInputSeriesName As String, _ ByVal secondInputSeriesName As String _ ) As TTestResult |
Visual Basic (Usage) | Copy Code |
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C# | |
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public TTestResult TTestPaired( double hypothesizedMeanDifference, double probability, string firstInputSeriesName, string secondInputSeriesName ) |
Parameters
- hypothesizedMeanDifference
- The hypothesized difference between the means of the data groups.
Hypothesized Mean Difference - probability
- The alpha value (probability that the hypothesis is rejected).
Probability - firstInputSeriesName
- The name of the Series object that stores the first group of data. Data must be stored in the first Y-values of the series' data points.
First Input Series Name - secondInputSeriesName
- The name of the Series object that stores the second group of data. Data must be stored in the first Y-values of the series' data points.
Second Input Series Name
Return Value
Returns Result class from T TestVisual Basic | Copy Code |
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Imports Dundas.Charting.WebControl<CRLF>...<CRLF><CRLF>' Perform the test<CRLF>Dim result As TTestResult = Chart1.DataManipulator.Statistics.TTestPaired(0.2,0.05,"Series1","Series2") |
C# | Copy Code |
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using Dundas.Charting.WebControl;<CRLF>...<CRLF><CRLF>// Perform the testT<CRLF>TestResult result = Chart1.DataManipulator.Statistics.TTestPaired(0.2,0.05,"Series1","Series2"); |
This method performs a paired two-sample student's t-test to determine whether a sample's means are distinct. This form of the t-test does not assume that the variances of both populations are equal.
Use a paired test when there is a natural pairing of observations in the samples, such as a sample group that is tested twice (e.g. before and after an experiment).
If either input series does not exist in the series collection at the time of the method call an exception will be thrown.
The following is a brief description of the TTestResult class members:
Member | Description |
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FirstSeriesMean | The mean of the first data group. |
SecondSeriesMean | The mean of the second data group. |
FirstSeriesVariance | The variance of the first data group. |
SecondSeriesVariance | The variance of the second data group. |
TValue | The T value. |
DegreeOfFreedom | The degree of freedom. |
ProbabilityTOneTail | Probability - T value (one tail). |
TCriticalValueOneTail | T critical value (one tail). |
ProbabilityTTwoTail | Probability - T value (two tail). |
TCriticalValueTwoTail | T critical value (two tail). |
Target Platforms: Windows 98, Windows NT 4.0, Windows Millennium Edition, Windows 2000, Windows XP Home Edition, Windows XP Professional, Windows Server 2003 family, Windows Vista, Windows Server 2008 family